Xiao Fan Zhao

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About

Xiao Fan Zhao is a leading researcher in advanced manufacturing, with a primary focus on Laser Directed Energy Deposition (L-DED) and robotic additive manufacturing. His most-cited work, "A model-based approach to reduce kinematics-related overfill in robot-guided Laser Directed Energy Deposition" (2023, 12 citations), addresses a critical challenge in L-DED: unintentional material accumulation, or overfill, at corner sections during deposition. By developing a model-based strategy that accounts for robot kinematics, Zhao has significantly improved geometric precision in parts produced through this high-precision, high-deposition-rate process. His contributions bridge the gap between theoretical modeling and practical robotic control, enhancing the reliability of additive manufacturing for complex geometries. Zhao’s work is pivotal for industries requiring intricate, high-quality metal components, such as aerospace and biomedical engineering. With a growing citation record, his research continues to shape the future of automated manufacturing, offering solutions that reduce waste and improve structural integrity. His achievements underscore a commitment to advancing manufacturing science through innovative, application-driven research.